Jun Xu
Jun Xu
Assistant Professor, College of Computer Science, Nankai University
Verified email at nankai.edu.cn - Homepage
TitleCited byYear
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising
J Xu, L Zhang, W Zuo, D Zhang, X Feng
IEEE ICCV 2015, Matlab Code: https://github.com/csjunxu/PGPD-ICCV2015, 2015
1802015
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
J Xu, L Zhang, D Zhang, X Feng
IEEE ICCV 2017, Matlab Code: https://github.com/csjunxu/MCWNNM-ICCV2017 …, 2017
722017
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
J Xu, L Zhang, D Zhang
ECCV 2018, Matlab Code: https://github.com/csjunxu/TWSC-ECCV2018, 2018
372018
External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising
J Xu, L Zhang, D Zhang
IEEE Transactions on Image Processing, Matlab Code: https://github.com …, 2018
34*2018
Reweighted Sparse Subspace Clustering
J Xu, K Xu, K Chen, J Ruan
Computer Vision and Image Understanding 138, 25–37, 2015
262015
Real-world Noisy Image Denoising: A New Benchmark
J Xu, H Li, Z Liang, D Zhang, L Zhang
https://arxiv.org/abs/1804.02603 Data&Matlab Code: https://github.com …, 2018
212018
newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation
Y Zhang, J Xu, W Zheng, C Zhang, X Qiu, K Chen, J Ruan
Computational Biology and Chemistry 52, 51–59, 2014
162014
A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping
Z Liang, J Xu, D Zhang, Z Cao, L Zhang
IEEE CVPR 2018, Matlab Code: https://github.com/ilegendforever/L1-L0-Tone …, 2018
142018
Sparse, collaborative, or nonnegative representation: Which helps pattern classification?
J Xu, W An, L Zhang, D Zhang
Pattern Recognition, Matlab Code:https://github.com/csjunxu/Classification …, 2019
132019
A PID Controller Approach for Stochastic Optimization of Deep Networks
W An, H Wang, Q Sun, J Xu, Q Dai, L Zhang
IEEE CVPR 2018, PyTorch Code: https://github.com/tensorboy/PIDOptimizer, 2018
132018
Cross Version Defect Prediction with Representative Data via Sparse Subset Selection
Z Xu, S Li, Y Tang, X Luo, T Zhang, J Liu, J Xu
International Conference on Program Comprehension (ICPC), 2018
112018
Patch Group based Bayesian Learning for Blind Image Denoising
J Xu, D Ren, L Zhang, D Zhang
ACCV 2016, Matlab Code: https://github.com/csjunxu/PGBL_BID, 2016
112016
Partial Deconvolution with Inaccurate Blur Kernel
D Ren, W Zuo, D Zhang, J Xu, L Zhang
IEEE Transactions on Image Processing 27 (1), 511-524, 2018
82018
RANet: Ranking Attention Network for Fast Video Object Segmentation
Z Wang, J Xu*, L Liu, F Zhu, L Shao
ICCV 2019, PyTorch Code: https://github.com/Storife/RANet, 2019
52019
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
H Wang, Z Xu, J Xu, W An, L Zhang, Q Dai
https://arxiv.org/abs/1908.03850, 2019
3*2019
TSTSS: A Two-Stage Training Subset Selection Framework for Cross Version Defect Prediction
Z Xu, S Li, X Luo, J Liu, T Zhang, Y Tang, J Xu, P Yuan, J Keung
Journal of Systems and Software, 2019
22019
Quad-PRE: A Hybrid Method to Predict Protein Quaternary Structure Attributes
Y Sheng, X Qiu, C Zhang, J Xu, Y Zhang, Z Wei, K Chen
Computational and Mathematical Methods in Medicine, 2014
22014
Scaled Simplex Representation for Subspace Clustering
J Xu*, M Yu, L Shao, W Zuo, D Meng, L Zhang, D Zhang
IEEE Transactions on Cybernetics. Matlab Code: https://github.com/csjunxu/SSRSC, 2019
12019
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image
J Xu#, Y Huang#, MM Cheng, L Liu, F Zhu, L Shao
https://csjunxu.github.io/paper/NAC.pdf, 2019
12019
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising
Y Hou, J Xu*, M Liu, G Liu, L Liu, F Zhu, L Shao
https://arxiv.org/abs/1906.06834, 2019
12019
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Articles 1–20